Haystack and Intelligent Search with Milos Rusic

Contributor

コンテンツは Eric Anderson によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャストコンテンツは、Eric Anderson またはそのポッドキャストプラットフォームパートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。

1+ y ago 30:32

MP3•エピソードのホーム

Eric Anderson (@ericmander) is joined by Milos Rusic (@rusic_milos) to discuss Haystack, the open-source NLP framework for leveraging Transformer models and building intelligent search systems. Milos and his colleagues at deepset were early contributors to Hugging Face’s Transformer models, and began building pipelines for searching large document stores. Today, Haystack is wildly popular, with an active Discord community and over 6,000 GitHub stars.

Subscribe to Contributor on Substack for email notifications, and join our Slack community!

In this episode we discuss:

A deep dive into how Haystack works and its many use cases
How a customer demo with one-minute long queries helped inspire Haystack
Marketing open-source projects vs word of mouth
NLP applications working with structured data and translating between types of data
Imagining a world where every person has their own personal ChatGPT

Links:

Other episodes:

Milvus with Frank Liu

85 つのエピソード

#Tech #Eric Anderson